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Comment Re:Wierd (Score 1) 210

"The google account tied to my phone is completely unrelated to the google account that has my email/etc. What sort of crazy person wouldn't create a random google account when setting up the phone in the first place?" - nedlohs

Ahhhhh.. I guess when Google revokes your account you'll ring up and complain using your pseudonymous name right!

Comment Avatars (Score 1) 509

, which will all drive around in beautiful zero fatality volvo cars going to parties where they get high on "zero hangover" electro stimulatives whilst our physical bodies lie comfortable in the "zero bedsores" reality projection gel units.

Comment Guns are just porn! That is what is hard to admit. (Score 1) 531

Oh please, the blame the person not the tool drool again.

Guns are a just fantasy item, essentially pornographic. However unlike your daddy's porn, the money shot here is a bullet penetrating a warm wet live body. Anything less just ain't satisfaction. If you are not convinced go and browse some of the gun forums where the "stopping power" of hollow points vs jacketed rounds are lovingly debated. You can almost see their hard ons through the screen. I'm not chicken to admit I fear the people who get off on pumping off rounds instead of the big wet one.

peace!

K
Graphics

Submission + - NVIDIA CUDA Slashes Compute Times for MATLAB Users (hpcwire.com)

kotku writes: NVIDIA CUDA Slashes Compute Times for MATLAB Users

"SANTA CLARA, Calif., July 16 — NVIDIA has released a plug-in example for MATLAB, a high-level language and interactive environment created by MathWorks that enables users to perform computationally intensive tasks faster than with traditional programming languages. NVIDIA's MATLAB plug-in example allows MATLAB programs to utilize standard GPU libraries for application speed ups. The plug-in is also outfitted to allow users to write their own libraries enabling them to take the performance critical piece of their code and harness the capabilities of the GPU through the NVIDIA CUDA software environment."

"GPGPU, or "General-Purpose Computation on GPUs", has traditionally required the use of a graphics API such as OpenGL, which presents the wrong abstraction for general-purpose parallel computation. Therefore, traditional GPGPU applications are difficult to write, debug, and optimize. NVIDIA GPU Computing with CUDA enables direct implementation of parallel computations in the C language using an API designed for general-purpose computation."

"A typical MATLAB simulation of 2D isotropic turbulence at a resolution suitable for scientific publications (1024x1024) until recently would take a couple of days," said Andy Keane, general manager of the GPU computing business unit at NVIDIA. "With the CUDA plug-ins we can perform the same simulation in 4 hours, a 12X increase, and with more optimizations, we can get this even faster."

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Journal Journal: My Slashdot Mission Statement!

To aquire as many -1 Flamebait Troll moderations as possible and then get banned from Slashdot whereapon I can do something usefull with my life. Ha Ha Ha Haaaaaaa.

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